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Excessive gestational weight gain and obesity contribute to altered expression of maternal insulin-like growth factor binding protein-3

Overview of attention for article published in International Journal of Women's Health, October 2013
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Title
Excessive gestational weight gain and obesity contribute to altered expression of maternal insulin-like growth factor binding protein-3
Published in
International Journal of Women's Health, October 2013
DOI 10.2147/ijwh.s49594
Pubmed ID
Authors

Zach Ferraro, Qing Qiu, Gruslin, Kristi Adamo

Abstract

Excessive gestational weight gain (GWG) increases risk of large for gestational age neonates and subsequent tracking of excess weight throughout the life course for both mother and child. Although the physiological mechanisms underlying these associations are incomplete, the insulin-like growth factor (IGF) axis has garnered attention for its role in fetal growth and development. Our purpose was to characterize the IGF axis protein expression patterns in mother-infant dyads in respect of excessive GWG.

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The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Poland 1 3%
Germany 1 3%
Unknown 34 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 17%
Student > Master 5 14%
Student > Ph. D. Student 4 11%
Other 3 8%
Student > Doctoral Student 3 8%
Other 6 17%
Unknown 9 25%
Readers by discipline Count As %
Medicine and Dentistry 11 31%
Agricultural and Biological Sciences 6 17%
Nursing and Health Professions 3 8%
Psychology 2 6%
Social Sciences 2 6%
Other 2 6%
Unknown 10 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 02 October 2013.
All research outputs
#15,280,625
of 22,723,682 outputs
Outputs from International Journal of Women's Health
#490
of 763 outputs
Outputs of similar age
#127,575
of 207,105 outputs
Outputs of similar age from International Journal of Women's Health
#17
of 25 outputs
Altmetric has tracked 22,723,682 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 763 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.7. This one is in the 24th percentile – i.e., 24% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 207,105 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 25 others from the same source and published within six weeks on either side of this one. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.